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SurveyCTO & Field DataMulti-State India (6 States) • 2020–2022

IndiQol: COVID-19 Socioeconomic Longitudinal Panel

4-phase longitudinal panel tracking the socioeconomic, health, and well-being impacts of COVID-19 across 3,300+ households.

Client / OrgMacquarie University (Dr. Kompal Sinha)
Domain AreaSurveyCTO & Field Data
GeographyMulti-State India (6 States)
Timeline2020–2022
Visual record of IndiQol: COVID-19 Socioeconomic Longitudinal Panel
Figure 1.0 — Platform context and interface overview4 Survey Phases · 3,300+ Households

Architectural Overview

Engineered high-frequency telephonic (CATI) and in-person CAPI interview modules for a multi-state research consortium. Developed automated Stata/R data cleaning scripts, respondent panel attrition tracking models, and live telemetry dashboards for international principal investigators.

Technical Deliverables & Highlights

  • ✓Hybrid telephonic (CATI) and on-ground (CAPI) survey synchronization
  • ✓Automated anomaly detection flagging outlier interview durations and enumerator variance
  • ✓Longitudinal panel linkage algorithms preserving respondent tracking across 18 months
  • ✓Peer-reviewed academic dataset formatting for health economics research
Technology Stack & Standards
SurveyCTOCATI / CAPIR & Stata ETLLongitudinal PanelAttrition Tracking

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